滚动轴承振动诊断中信息特征的快速峭图识别

S. Mykhalkiv, D. Zhalkin, S. Zhalkin, V. Ravlyuk
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引用次数: 0

摘要

本文讨论了用于电机滚动轴承振动诊断的快速Kurtogram技术的特性。考虑到传统振动诊断工具在时域上的不足,提出了合适的频带选择程序,用于进一步的解调和包络谱提取。快速峰度图表示信号在(f,f) 飞机。频率和频率分辨率被用作确定频谱峰度大小的关键函数。最佳组合使峰度最大。在试验研究中,获得了ChS7系列电力机车电动机滚动轴承的振动情况。提取了0–9kHz频率范围内的宽带频谱,并在经验方法的帮助下选择了具有共振激励的四个频带。在众多的随机分量中,四个包络谱中没有一个不具有任何信息特征。通过快速Kurtogram选择合适的中心频率和频带后,提取的包络谱显示了与外座圈故障有关的一系列谐波。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE IDENTIFICATION OF INFORMATIVE FEATURES BY THE FAST KURTOGRAM TECHNIQUE FOR THE VIBRODIAGNOSTICS OF ROLLING BEARINGS
The paper deals with the properties of the Fast Kurtogram technique for the vibrodiagnostics of rolling bearings of electric motor. Taking into account the disadvantages of the classic tools of vibrodiagnostics in the time domain, the proper frequency band selection procedure was suggested for the further demodulation and envelope spectrum extraction. Fast Kurtogram represents the spectral kurtosis value of the signal on the (f, f) plane. The frequency and the frequency resolution are used as the key functions to determine the magnitude of the spectral kurtosis. The best combination makes the kurtosis maximum. During the experimental research the vibration of the rolling bearing of electric motor of electric locomotive ChS7 series was acquired. The broadband spectrum in the frequency range 0 – 9 kHz was extracted and with the help of empiric approach the four frequency bands with resonance excitations were selected. None of four envelope spectra did not have any informative features among numerous random components. After the selection of a proper center frequency and the frequency band by the Fast Kurtogram, the extracted envelope spectrum has shown the series of harmonics related to the outer race faults.
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